
I believe it's never just about the model — it's about the mind that built it. Alhamdulillah, always.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
irony-detection-nlp-benchmark
January 11, 2026 – Present
Benchmarking irony detection on Twitter using TweetEval with industrial models, lightweight embedding-based classifiers, and local LLMs.
View Projectmy-first-project-data-analysis-global-superstore
November 14, 2025 – November 16, 2025
My first end-to-end data analysis project using the Global Superstore dataset. Includes data cleaning, exploratory analysis, business KPIs, and data visualization using Python.
View Projecttopic-modeling-pipeline
October 23, 2025 – October 23, 2025
Cleaning → Embeddings → Sampling → Dimensionality Reduction with UMAP → Clustering with HDBSCAN → Inference and Concatenation → LLM Annotation
View Projectmultimodal-image-clustering
October 22, 2025 – October 23, 2025
A multimodal image analysis engine combining visual and semantic embeddings to detect repeated patterns, clusters, and narratives across large-scale social-media datasets.
View Projectimage-search-engine
October 20, 2025 – October 27, 2025
An AI-powered image search engine that understands both text and visuals. Type a query like “satellite mask” or “aircraft at night” and instantly find matching images or even texts
View Projecthierarchical-topic-modeling-with-llm-annotation-v2
October 9, 2025 – October 29, 2025
Extract meaningful topics from large-scale text data using unsupervised clustering and automated label generation. Designed for narrative analysis, trend detection, and knowledge mapping.
View ProjectEnd-to-End-Modeling-of-Cybersecurity-Alerts
April 20, 2025 – April 27, 2025
End-to-End-Modeling-of-Cybersecurity-Alerts — GitHub repository
View ProjectTime-Series-XGBoost-from-Scratch
April 16, 2025 – November 28, 2025
Forecasting hourly energy demand in PJM East (2002–2018) using XGBoost regression form scratch
View ProjectInternship-Modeling-runway-friction-for-safe-winter-operations-using-ML
April 14, 2025 – July 16, 2025
Internship-Modeling-runway-friction-for-safe-winter-operations-using-ML — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in diverse data science applications. However, without information on collaborative projects or professional experience, it is difficult to fully assess cultural fit. The projects align well with a Data Scientist role, showcasing a breadth of technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various data science methodologies.